Benchmarking quantum logic operations relative to thresholds for fault tolerance

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Stefan Seritan, Timothy Proctor, Kenneth Rudinger, Noah Goss | Summary: Contemporary methods for benchmarking noisy quantum processors typically measure average error rates or process infidelities. However, thresholds for fault-tolerant quantum error correction are given in terms of worst-case error rates — defined via the diamond […]


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BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT Images

Kavli Affiliate: Wei Gao | First 5 Authors: Runmin Cong, Haowei Yang, Qiuping Jiang, Wei Gao, Haisheng Li | Summary: The spread of COVID-19 has brought a huge disaster to the world, and the automatic segmentation of infection regions can help doctors to make diagnosis quickly and reduce workload. However, there are several challenges for […]


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Demonstrating scalable randomized benchmarking of universal gate sets

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Jordan Hines, Marie Lu, Ravi K. Naik, Akel Hashim, Jean-Loup Ville | Summary: Randomized benchmarking (RB) protocols are the most widely used methods for assessing the performance of quantum gates. However, the existing RB methods either do not scale to many qubits or cannot benchmark a universal […]


Continue.. Demonstrating scalable randomized benchmarking of universal gate sets

Demonstrating scalable randomized benchmarking of universal gate sets

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Jordan Hines, Marie Lu, Ravi K. Naik, Akel Hashim, Jean-Loup Ville | Summary: Randomized benchmarking (RB) protocols are the most widely used methods for assessing the performance of quantum gates. However, the existing RB methods either do not scale to many qubits or cannot benchmark a universal […]


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Adaptive Random Fourier Features Kernel LMS

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang | Summary: We propose the adaptive random Fourier features Gaussian kernel LMS (ARFF-GKLMS). Like most kernel adaptive filters based on stochastic gradient descent, this algorithm uses a preset number of random Fourier features to save computation cost. […]


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Controlling Andreev bound states with the magnetic vector potential

Kavli Affiliate: Srijit Goswami | First 5 Authors: Christian M. Moehle, Prasanna K. Rout, Nayan A. Jainandunsing, Dibyendu Kuiri, Chung Ting Ke | Summary: Tunneling spectroscopy measurements are often used to probe the energy spectrum of Andreev bound states (ABSs) in semiconductor-superconductor hybrids. Recently, this spectroscopy technique has been incorporated into planar Josephson junctions (JJs) […]


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Experimental Determination of a Single Atom Ground State Orbital through Hyperfine Anisotropy

Kavli Affiliate: Sander Otte | First 5 Authors: Laëtitia Farinacci, Lukas M. Veldman, Philip Willke, Sander Otte, | Summary: Historically, electron spin resonance (ESR) has provided excellent insight into the electronic, magnetic, and chemical structure of samples hosting spin centers. In particular, the hyperfine interaction between the electron and the nuclear spins yields valuable structural […]


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Imaging Quantum Interference in Stadium-Shaped Monolayer and Bilayer Graphene Quantum Dots

Kavli Affiliate: Michael F. Crommie | First 5 Authors: Zhehao Ge, Dillon Wong, Juwon Lee, Frederic Joucken, Eberth A. Quezada-Lopez | Summary: Experimental realization of graphene-based stadium-shaped quantum dots (QDs) have been few and incompatible with scanned probe microscopy. Yet, direct visualization of electronic states within these QDs is crucial for determining the existence of […]


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SHREC’22 Track: Sketch-Based 3D Shape Retrieval in the Wild

Kavli Affiliate: Feng Wang | First 5 Authors: Jie Qin, Shuaihang Yuan, Jiaxin Chen, Boulbaba Ben Amor, Yi Fang | Summary: Sketch-based 3D shape retrieval (SBSR) is an important yet challenging task, which has drawn more and more attention in recent years. Existing approaches address the problem in a restricted setting, without appropriately simulating real […]


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An On-demand Photonic Ising Machine with Simplified Hamiltonian Calculation by Phase-encoding and Intensity Detection

Kavli Affiliate: Xiang Zhang | First 5 Authors: Jiayi Ouyang, Yuxuan Liao, Zhiyao Ma, Deyang Kong, Xue Feng | Summary: Photonic Ising machine is a new paradigm of optical computing, which is based on the characteristics of light wave propagation, parallel processing and low loss transmission. Thus, the process of solving the combinatorial optimization problems […]


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